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AED-Net: An Abnormal Event Detection Network Article

Tian Wang, Zichen Miao, Yuxin Chen, Yi Zhou, Guangcun Shan, Hichem Snoussi

Engineering 2019, Volume 5, Issue 5,   Pages 930-939 doi: 10.1016/j.eng.2019.02.008

Abstract: In this paper, a self-supervised framework called the abnormal event detection network (AED-Net), whichis composed of a principal component analysis network (PCAnet) and kernel principal component analysis

Keywords: Abnormal events detection     Abnormal event detection network     Principal component analysis network     Kernelprincipal component analysis    

Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysiscoupled with principal component analysis

Tao FU, Jibin ZHAO, Weijun LIU

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4,   Pages 445-452 doi: 10.1007/s11465-012-0338-z

Abstract: In this study, the optimum cutting parameters are obtained by the grey relational analysis.Moreover, the principal component analysis is applied to evaluate the weights so that their relativeThe results of experiments show that grey relational analysis coupled with principal component analysis

Keywords: high-speed milling     grey relational analysis     principal component analysis     parameters optimization    

Non-negativematrix factorization based unmixing for principal component transformed hyperspectral data

Xiu-rui GENG,Lu-yan JI,Kang SUN

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5,   Pages 403-412 doi: 10.1631/FITEE.1600028

Abstract: Non-negative matrix factorization (NMF) has been widely used in mixture analysis for hyperspectral remoteAlthough principal component analysis (PCA) can be used to mitigate these two problems, the transformedcomponent transformation.Based on this conclusion, we present a method to perform NMF in the principal component space, named‘principal component NMF’ (PCNMF).

Keywords: Non-negative matrix factorization (NMF)     Principal component analysis (PCA)     Endmember     Hyperspectral    

Determination of the principal factors of river water quality through cluster analysis method and its

Liang GUO, Ying ZHAO, Peng WANG

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 2,   Pages 238-245 doi: 10.1007/s11783-011-0382-7

Abstract: In this paper, an artificial neural network model was built to predict the Chemical Oxygen Demand (CODTo enhance the prediction accuracy, principal factors were determined through the analysis of the weightrelation between influencing factors and forecasting object using cluster analysis method, which optimizedthe topological structure of the prediction model input items of the artificial neural network.It was shown that application of the principal factors in water quality prediction model can improve

Keywords: water quality forecast     principal factor     cluster analysis method     artificial neural network    

in Qinba Mountain Area Study on the Development of Forestry Industry in Qinba Mountain Area Based on PrincipalComponent Analysis

Zheng Donghui, Hou Hua, Zhai Mingpu, Qu Mei

Strategic Study of CAE 2020, Volume 22, Issue 1,   Pages 120-126 doi: 10.15302/J-SSCAE-2020.01.013

Abstract: The paper uses expert questionnaires and principal component analysis to identify the factors that have

Keywords: Qinba Mountain Area     forestry industry     SWOT method     principal component analysis     ecological environment    

Research of mine farmland heavy metal pollution assessment basedon synthetic principal component analysis

Wang Conglu,Wu Chao,Duan Yu

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 180-183

Abstract: components analysis (PCA) .The study result implied that variable clustering analysis is efficient to identify the principal componentsof mine area farmland heavy metal pollution.Sort and clustering were done to the synthetic principalcomponents scores of soil sample, which is given by synthetic principal components analysis.results of mine area farmland heavy metal pollution quality assessed and classified with synthetic component

Keywords: synthetic principal components analysis model     mine region soils     heavy metal pollution     assessment    

Using hybrid models to predict blood pressure reactivity to unsupported back based on anthropometric characteristics

Gurmanik KAUR,Ajat Shatru ARORA,Vijender Kumar JAIN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6,   Pages 474-485 doi: 10.1631/FITEE.1400295

Abstract: In this work, principal component analysis (PCA) is fused with forward stepwise regression (SWR), artificialneural network (ANN), adaptive neuro-fuzzy inference system (ANFIS), and the least squares support vectormulti-collinearity among anthropometric predictor variables and to select a subset of components, termed ‘principal

Keywords: Blood pressure (BP)     Principal component analysis (PCA)     Forward stepwise regression     Artificial neuralnetwork (ANN)     Adaptive neuro-fuzzy inference system (ANFIS)     Least squares support vector machine (    

Indoor carbonyl compounds in an academic building in Beijing, China: concentrations and influencing factors

Chuanjia JIANG, Pengyi ZHANG

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 2,   Pages 184-194 doi: 10.1007/s11783-011-0309-3

Abstract: Principal component analysis identified a combined effect of common indoor carbonyl sources and ventilation

Keywords: carbonyl compounds     indoor air     ventilation     human occupancy     source emission rate (SER)     principal componentanalysis (PCA)    

Indicating landfill stabilization state by using leachate property from Laogang Refuse Landfill

LOU Ziyang,CHAI Xiaoli,ZHAO Youcai,SONG Yu,ZHU Nanwen,JIA Jinping

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 3,   Pages 405-410 doi: 10.1007/s11783-013-0565-5

Abstract: Simultaneously, principal component analysis (PCA) was applied to develop a synthetic parameter-F based

Keywords: landfill stabilization     leachate evolution     principal component analysis    

A dynamic stiffness-based framework for harmonic input estimation and response reconstruction considering damage

Yixian LI; Limin SUN; Wang ZHU; Wei ZHANG

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4,   Pages 448-460 doi: 10.1007/s11709-022-0805-5

Abstract: The principal component analysis has been adopted to “compress” the under-determined equation, and formed

Keywords: dynamic stiffness     principal component analysis     response reconstruction     damage localization     under-determined    

Relationships of nitrous oxide fluxes with water quality parameters in free water surface constructed wetlands

Juan WU, Jian ZHANG, Wenlin JIA, Huijun XIE, Bo ZHANG

Frontiers of Environmental Science & Engineering 2009, Volume 3, Issue 2,   Pages 241-247 doi: 10.1007/s11783-009-0023-6

Abstract: relationships between N O and the chemical and physical water quality variables were studied by using principalcomponent scores in multiple linear regression analysis to predict N O flux.The multiple linear regression model against principal components indicated that different water parameters

Keywords: free water surface constructed wetland     nitrous oxide emission     water quality parameter     principal componentanalysis     multiple linear regression    

Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Frontiers in Energy 2017, Volume 11, Issue 2,   Pages 175-183 doi: 10.1007/s11708-017-0471-9

Abstract: criterion of minimal-redundancy-maximal-relevance (mRMR), while the latter does so based on the method of principalcomponent analysis (PCA).

Keywords: regional wind power forecasting     feature set     minimal-redundancy-maximal-relevance (mRMR)     principal componentanalysis (PCA)     locally weighted learning model    

Predicting non-carcinogenic hazard quotients of heavy metals in pepper (

Marzieh Mokarram, Hamid Reza Pourghasemi, Huichun Zhang

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 6, doi: 10.1007/s11783-020-1331-0

Abstract: Based on the relevant spectral bands identified by principal component analysis (PCA) and random searchTherefore, in future studies, instead of examining the amount of heavy metals in plants by chemical analysis

Keywords: Heavy metals     Plants     Target Hazard Quotient (THQ)     Principal Component Analysis (PCA)     Random search     Electromagnetic    

Experimental and numerical analysis of beam to column joints in steel structures

Gholamreza ABDOLLAHZADEH, Seyed Mostafa SHABANIAN

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 4,   Pages 642-661 doi: 10.1007/s11709-017-0457-z

Abstract: In this research, two modeling methods including mechanical and neural network methods have been presentedFirst, the component-based mechanical model will be introduced in which every source of transformationThis is followed by the investigation of a neural network method for direct extraction of informationFor the validation of behavioral curves as well as training of the neural network, the experiments were

Keywords: beam to column connections     experiments     component method     neural network model     combinational modeling    

Interaction and independence on methane oxidation of landfill cover soil among three impact factors: water, oxygen and ammonium

Pinjing HE, Na YANG, Wenjuan FANG, Fan Lü, Liming SHAO

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 2,   Pages 175-185 doi: 10.1007/s11783-011-0320-8

Abstract: Canonical correspondence analysis was utilized to distinguish the important impact factors.

Keywords: quantitative polymerase chain reaction (PCR)     denaturing gradient gel electrophoresis (DGGE)     principalcomponent analysis (PCA)     canonical correspondence analysis (CCA)    

Title Author Date Type Operation

AED-Net: An Abnormal Event Detection Network

Tian Wang, Zichen Miao, Yuxin Chen, Yi Zhou, Guangcun Shan, Hichem Snoussi

Journal Article

Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysiscoupled with principal component analysis

Tao FU, Jibin ZHAO, Weijun LIU

Journal Article

Non-negativematrix factorization based unmixing for principal component transformed hyperspectral data

Xiu-rui GENG,Lu-yan JI,Kang SUN

Journal Article

Determination of the principal factors of river water quality through cluster analysis method and its

Liang GUO, Ying ZHAO, Peng WANG

Journal Article

in Qinba Mountain Area Study on the Development of Forestry Industry in Qinba Mountain Area Based on PrincipalComponent Analysis

Zheng Donghui, Hou Hua, Zhai Mingpu, Qu Mei

Journal Article

Research of mine farmland heavy metal pollution assessment basedon synthetic principal component analysis

Wang Conglu,Wu Chao,Duan Yu

Journal Article

Using hybrid models to predict blood pressure reactivity to unsupported back based on anthropometric characteristics

Gurmanik KAUR,Ajat Shatru ARORA,Vijender Kumar JAIN

Journal Article

Indoor carbonyl compounds in an academic building in Beijing, China: concentrations and influencing factors

Chuanjia JIANG, Pengyi ZHANG

Journal Article

Indicating landfill stabilization state by using leachate property from Laogang Refuse Landfill

LOU Ziyang,CHAI Xiaoli,ZHAO Youcai,SONG Yu,ZHU Nanwen,JIA Jinping

Journal Article

A dynamic stiffness-based framework for harmonic input estimation and response reconstruction considering damage

Yixian LI; Limin SUN; Wang ZHU; Wei ZHANG

Journal Article

Relationships of nitrous oxide fluxes with water quality parameters in free water surface constructed wetlands

Juan WU, Jian ZHANG, Wenlin JIA, Huijun XIE, Bo ZHANG

Journal Article

Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Journal Article

Predicting non-carcinogenic hazard quotients of heavy metals in pepper (

Marzieh Mokarram, Hamid Reza Pourghasemi, Huichun Zhang

Journal Article

Experimental and numerical analysis of beam to column joints in steel structures

Gholamreza ABDOLLAHZADEH, Seyed Mostafa SHABANIAN

Journal Article

Interaction and independence on methane oxidation of landfill cover soil among three impact factors: water, oxygen and ammonium

Pinjing HE, Na YANG, Wenjuan FANG, Fan Lü, Liming SHAO

Journal Article